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Article

Indicative Lake Water Quality Assessment Using Remote Sensing Images-Effect of COVID-19 Lockdown

1
Department of Civil and Environmental Engineering, Indian Institute of Technology, Tirupati 517506, India
2
Department of Civil Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad 826004, India
3
Department of Economics, SPDM Government Girls College, Kotputli (Jaipur) 303108, India
*
Author to whom correspondence should be addressed.
Water 2021, 13(1), 73; https://doi.org/10.3390/w13010073
Received: 26 October 2020 / Revised: 17 December 2020 / Accepted: 24 December 2020 / Published: 31 December 2020
(This article belongs to the Special Issue SARS-CoV-2 in Waters: Rational)
The major lockdown due to the COVID-19 pandemic has affected the socio-economic development of the world. On the other hand, there are also reports of reduced pollution levels. In this study, an indicative analysis is adopted to understand the effect of lockdown on the changes in the water quality parameters for Lake Hussain Sagar using two remote sensing techniques: (i) spectral reflectance (SR) and (ii) chromaticity analysis (Forel-Ule color Index (FUI) and Excitation Purity). The empirical relationships from earlier studies imply that (i) increase in SR values (band B2) indicates a reduction in Chlorophyll-a (Chl-a) and Colored Dissolved Organic Matter (CDOM) concentrations, and (ii) increase in FUI indicates an increase in Total Suspended Solids (TSS). The Landsat 8 OLI satellite images are adopted for comparison between (i) January to May of year 2020: the effect of lockdown on water quality, and (ii) March and April for years 2015 to 2020: historical variations in water quality. The results show notable changes in SR values and FUI due to lockdown compared to before lockdown and after unlock suggesting a significant reduction in lake water pollution. In addition, the historical variations within April suggest that the pollution levels are least in the year 2020. View Full-Text
Keywords: water pollution; COVID-19; remote sensing; chromaticity; Forel-Ule Color Index; excitation purity; Chlorophyll; CDOM; TSS; anthropogenic activities water pollution; COVID-19; remote sensing; chromaticity; Forel-Ule Color Index; excitation purity; Chlorophyll; CDOM; TSS; anthropogenic activities
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MDPI and ACS Style

Wagh, P.; Sojan, J.M.; Babu, S.J.; Valsala, R.; Bhatia, S.; Srivastav, R. Indicative Lake Water Quality Assessment Using Remote Sensing Images-Effect of COVID-19 Lockdown. Water 2021, 13, 73. https://doi.org/10.3390/w13010073

AMA Style

Wagh P, Sojan JM, Babu SJ, Valsala R, Bhatia S, Srivastav R. Indicative Lake Water Quality Assessment Using Remote Sensing Images-Effect of COVID-19 Lockdown. Water. 2021; 13(1):73. https://doi.org/10.3390/w13010073

Chicago/Turabian Style

Wagh, Poonam, Jency M. Sojan, Sriram J. Babu, Renu Valsala, Suman Bhatia, and Roshan Srivastav. 2021. "Indicative Lake Water Quality Assessment Using Remote Sensing Images-Effect of COVID-19 Lockdown" Water 13, no. 1: 73. https://doi.org/10.3390/w13010073

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